tqec.computation.zx_graph.ZXGraph

class ZXGraph(name: str = '')

ZX graph representation of a logical computation.

The ZX graph is in the form of a ZX-calculus graph and the representation is based on the correspondence between the ZX- calculus and the lattice surgery.

__init__(name: str = '') → None

Methods

__init__([name])
add_edge(u, v[, has_hadamard])	Add an edge to the graph.
add_node(node[, check_conflict])	Add a node to the graph.
draw()	Draw the graph using matplotlib.
edges_at(position)	Get the edges incident to a position.
fill_ports(fill)	Fill the ports at specified position with a node with the given kind.
find_correration_surfaces()	Find the correlation surfaces in the ZX graph.
get_degree(position)	Get the degree of a node in the graph, i.e. the number of edges incident to it.
get_edge(pos1, pos2)	Get the edge by its endpoint positions.
has_edge_between(pos1, pos2)	Check if there is an edge between two positions.
raise_if_cannot_be_valid_computation()	Check the validity of the graph to represent a computation.
to_block_graph([name])	Construct a block graph from a ZX graph.
with_zx_flipped([name])	Get a new ZX graph with the node kind flipped.

Attributes

edges	Return a list of edges in the graph.
leaf_nodes	Get the leaf nodes of the graph, i.e. the nodes with degree 1.
name	The name of the graph.
nodes	Return a list of nodes in the graph.
num_edges	The number of edges in the graph.
num_nodes	The number of nodes in the graph.
num_ports	The number of ports in the graph.
ports	Get a mapping from the labels of the ports in the graph to their positions.